---
title: Agent with Structured Outputs
---

## Code

```python cookbook/models/lmstudio/structured_output.py
import asyncio
from typing import List

from agno.agent import Agent
from agno.models.lmstudio import LMStudio
from pydantic import BaseModel, Field


class MovieScript(BaseModel):
    name: str = Field(..., description="Give a name to this movie")
    setting: str = Field(
        ..., description="Provide a nice setting for a blockbuster movie."
    )
    ending: str = Field(
        ...,
        description="Ending of the movie. If not available, provide a happy ending.",
    )
    genre: str = Field(
        ...,
        description="Genre of the movie. If not available, select action, thriller or romantic comedy.",
    )
    characters: List[str] = Field(..., description="Name of characters for this movie.")
    storyline: str = Field(
        ..., description="3 sentence storyline for the movie. Make it exciting!"
    )


# Agent that returns a structured output
structured_output_agent = Agent(
    model=LMStudio(id="qwen2.5-7b-instruct-1m"),
    description="You write movie scripts.",
    output_schema=MovieScript,
)

# Run the agent synchronously
structured_output_agent.print_response("
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install LM Studio">

    Install LM Studio from [here](https://lmstudio.ai/download) and download the
    model you want to use.

  </Step>

  <Step title="Install libraries">

    ```bash
    pip install -U agno
    ```

  </Step>

  <Step title="Run Agent">

    <CodeGroup>
    ```bash Mac
    python cookbook/models/lmstudio/structured_output.py
    ```

    ```bash Windows
    python cookbook/models/lmstudio/structured_output.py
    ```
    </CodeGroup>

  </Step>
</Steps>
